3 papers
eess.SY2024
Inferring Ingrained Remote Information in AC Power Flows Using Neuromorphic Modality Regime
Xiaoguang Diao, Yubo Song, Subham Sahoo
In this paper, we infer remote measurements such as remote voltages and currents online with change in AC power flows using spiking neural network (SNN) as grid-edge technology for…
cs.ET2024
On Noise Resiliency of Neuromorphic Inferential Communication in Microgrids
Yubo Song, Subham Sahoo, Xiaoguang Diao
Neuromorphic computing leveraging spiking neural network has emerged as a promising solution to tackle the security and reliability challenges with the conventional cyber-physical…
cs.ET2024
Neuromorphic Event-Driven Semantic Communication in Microgrids
Xiaoguang Diao, Yubo Song, Subham Sahoo +1
Synergies between advanced communications, computing and artificial intelligence are unraveling new directions of coordinated operation and resiliency in microgrids. On one hand, c…